Title :
Forest stand level correlation analysis of ALOS-1 PALSAR signatures
Author :
Wangfei Zhang ; Goodenough, David G. ; Richardson, Ashlin ; Erxue Chen ; Zengyuan Li
Author_Institution :
Dept. of Comput. Sci., Univ. of Victoria, Victoria, BC, Canada
Abstract :
In this paper we analyze the effects of polarization, environmental conditions and forest structure upon the backscatter response of forested stands. This analysis is based upon a time series of ALOS-1 PALSAR images acquired over our study site in Xunke County, Heilongjiang Province, China. Based on six scenes, we analyzed the polarization and environment conditions on the forest stands. Backscatter coefficients of HV channel had a greater dynamic range than HH channel. HV channel was less influenced by weather and wind speed conditions. Our observations found canopy density greatly influenced the forest stand backscatter. Backscatter coefficient showed weak correlations to canopy density, mean tree height and mean diameter at breast height (DBH). Correlations were much stronger when the forest stands were grouped with canopy density or mean tree height. Before grouping the highest correlation coefficient between backscatter coefficients and tree height was 0.377, the value for HV image acquired on August 07, 2007. After grouping these forest stands by canopy density, the correlation was 0.95 to tree height. We also analyzed the correlations with two different tree species, and obtained similar results.
Keywords :
remote sensing by radar; synthetic aperture radar; vegetation; ALOS-1 PALSAR images; ALOS-1 PALSAR signatures; China; HH channel; HV channel backscatter coefficients; Heilongjiang province; Xunke County; breast height; canopy density; forest stand level correlation analysis; mean diameter; polarization effects; weather conditions; wind speed conditions; Backscatter; Correlation; Correlation coefficient; Spaceborne radar; Synthetic aperture radar; Vegetation; Backscatter coefficient; canopy density; mean tree height; radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946938